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Soil erosion hazard mapping using Analytic Hierarchy Process and logistic regression: a case study of Haffouz watershed, central Tunisia

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Abstract

The purpose of this study is to develop an overall methodology for assessing soil erosion hazard. Two models are implemented in Haffouz watershed (central Tunisia), which is generally prone to erosion processes. The first is a multi-parametric approach based on expert’s knowledge and Analytic Hierarchy Process (AHP), while the second is a statistical technique based on logistic regression (LR). Six parameters (slope gradient, annual precipitation, lithofacies, vegetation index, drainage density, and land use) are used for both methodologies. A thematic layer map is generated for each parameter using geographic information system (GIS) and remote sensing, while the weighting coefficients of each methodology are used for the compilation of AHP and LR final maps. Both models give similar results depicting that, in general, a moderate hazard condition of soil erosion was found in the study area. The proposed approaches also resulted in the identification of the highly eroded areas, requiring immediate action.

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References

  • Abaoui J, El Ghmari A, El Harti A, Bachaoui EM, Bannari A, El Bouadili A (2005) Cartographie de l’érosion hydrique en zone montagneuse: Cas du bassin versant des Ait Bou Goumez, Haut Atlas, Maroc. Estud Geol 61:33–39

    Article  Google Scholar 

  • Ahmad S, Muddassir SM (2014) Digital image processing of remote sensing satellite data for information extraction. First International Conference on Modern Communication & Computing Technologies (MCCT’14), 26-28 February, 2014, Nawabshah, Pakistan

  • Akgün A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51:1348–1377. doi:10.1007/s00254-006-0435-6

    Article  Google Scholar 

  • Akgün A, Turk N (2011) Mapping erosion susceptibility by a multivariate statistical method: a case study from the Ayvalık region. NW Turkey. Comput Geosci 9:1515–1524

    Article  Google Scholar 

  • Alexakis DD, Hadjimitsis DG, Agapiou A (2013) Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus. Atmos Res 131:108–124

    Article  Google Scholar 

  • Arar A, Chenchouni H (2014) A “simple” geomatics-based approach for assessing water erosion hazard at montane areas. Arab J Geosci 7:1–12

    Article  Google Scholar 

  • Arekhi S, Niazi Y, Kalteh AM (2012) Soil erosion and sediment yield modeling using RS and GIS techniques: a case study, Iran. Arab J Geosci 5:285–296

    Article  Google Scholar 

  • Bachaoui B, Bachaoui EM, El Harti A, Bannari A, El Ghmari A (2007) Cartographie des zones à risque d’érosion hydrique: exemple du haut Atlas marocain. Teledetection 7:393–404

    Google Scholar 

  • Bathrellos GD, Skilodimou HD, Chousianitis KG (2010) Soil erosion assessment in southern Evia Island using USLE and GIS. Bulletin of the Geological Society of Greece. Proceedings of the 12th International Congress, Patras. May, 2010

  • Bayramin I, Erpul G (2006) Use of CORINE methodology to assess soil erosion risk in the semi-arid area of Beypazari. Turk J Agric For 30:81–100

    Google Scholar 

  • Begueria S (2006) Identifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees. Int J Remote Sens 27:4585–4598

    Article  Google Scholar 

  • Berkane A, Yahiaou A (2007) L’érosion dans les Aurès. Sécheresse 18:213–216

    Google Scholar 

  • Bou Kheir R, Michel-Claude S, Amin K, Mohamad F, Talal D (2001) Apport de la télédétection pour la modélisation de l’érosion hydrique des sols dans la région côtière du Liban. Teledetection 2:79–90

    Google Scholar 

  • Bou Kheir R, Abdallah C, Khawlie M (2008) Assessing soil erosion in Mediterranean karst landscapes of Lebanon using remote sensing and GIS. Eng Geol 99:239–254

    Article  Google Scholar 

  • Clerici A, Perego S, Tellini C, Vescovi P (2002) A procedure for landslide susceptibility zonation by the conditional analysis method. Geomorphology 48:349–364

    Article  Google Scholar 

  • Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42:213–228

    Article  Google Scholar 

  • de Graaffa J, Aklilu A, Ouessar M, Asins-Velis S, Kesslera A (2013) The development of soil and water conservation policies and practices in five selected countries from 1960 to 2010. Land Use Policy 32:165–174

    Article  Google Scholar 

  • Eastman JR (1997) IDRISI for Windows version 2.0. Tutorial exercises. Worcester-MA, Graduate School of Geography, Clark University. p 192

  • Gobin A, Jones R, Kirkby M, Campling P, Govers G, Kosmas C, Gentile AR (2004) Indicators for pan-European assessment and monitoring of soil erosion by water. Environ Sci Pol 7:25–38

    Article  Google Scholar 

  • Grimm M, Jones R, Montanarella L (2002) Soil erosion risk in Europe. EUR 19939 EN. European Commission & Joint Research Centre, Italy

    Google Scholar 

  • Guidoum A, Nemouchi A, Hamlat A (2013) Modeling and mapping of water erosion in north eastern Algeria using a seasonal multicriteria approach. Arab J Geosci. doi:10.1007/s12517-013-1112-1

    Google Scholar 

  • Le Bissonnais YL, Montier C, Jamagne M, Daroussin J, King D (2002) Mapping erosion risk for cultivated soil in France. Catena 46:207–220

    Article  Google Scholar 

  • Malczewski J (2000) On the use of weighted linear combination method in GIS: common and best practice approaches. Trans GIS 4:5–22

    Article  Google Scholar 

  • Merritt WS, Letcher RA, Jakeman AJ (2003) A review of erosion and sediment transport models. Environ Model Softw 18:761–799

    Article  Google Scholar 

  • Morgan RPC (1995) Soil erosion and conservation. Longman, London, pp 23–37

    Google Scholar 

  • Mosbahi M, Benabdallah S, Boussema MR (2013) Assessment of soil erosion risk using SWAT model. Arab J Geosci 6:4011–4019

    Article  Google Scholar 

  • Naqvi HR, Mallick J, Devi LM, Siddiqui MA (2013) Multi-temporal annual soil loss risk mapping employing Revised Universal Soil Loss Equation (RUSLE) model in Nun Nadi Watershed, Uttrakhand (India). Arab J Geosci 6:4045–4056

    Article  Google Scholar 

  • Nekhay O, Arriaza M, Boerboom L (2009) Evaluation of soil erosion risk using Analytic Network Process and GIS: a case study from Spanish mountain olive plantations. J Environ Manag 90:3091–3104

    Article  Google Scholar 

  • Nigel R, Rughooputh S (2010) Mapping of monthly soil erosion risk of mainland Mauritius and its aggregation with delineated basins. Geomorphology 114:101–114

    Article  Google Scholar 

  • Oldeman LR, Hakkeling RTA, Sombroek WG (1991) World map on the status of human induced soil degradation, with explanatory note (second revised edition). ISRIC Wageningen, UNEP, Nairobi

    Google Scholar 

  • Park S, Oh C, Jeon S, Jung H, Choi C (2011) Soil erosion risk in Korean watersheds, assessed using the revised universal soil loss equation. J Hydrol 399:263–273

    Article  Google Scholar 

  • Perović V, Životić L, Kadović R, Đorđević A, Jaramaz D, Mrvić V, Todorović M (2013) Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia. Environ Earth Sci 68:115–128

    Article  Google Scholar 

  • Pradhan B, Chaudhari A, Adinarayana J, Buchroithner MF (2012) Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island, Malaysia. Environ Monit Assess 184:715–727. doi:10.1007/s10661-011-1996-8

    Article  Google Scholar 

  • Prasannakumar V, Vijith H, Abinod S, Geetha N (2012) Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geosci Front 3:209–215. doi:10.1016/j.gsf.2011.11.003

    Article  Google Scholar 

  • Renard K.G., Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture Handbook, No.703, US Department of Agriculture, Washington DC

  • Rozos D, Bathrellos GD, Skillodimou HD (2011) Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece. Environ Earth Sci 63:49–63

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York

    Google Scholar 

  • Saaty TL, Vargas LG (1991) Prediction, projection, and forecasting, applications of the analytic hierarchy process in economics, finance, politics, games, and sports. Kluwer, Boston, p 251

    Google Scholar 

  • Sharma R, Ghosh A, Joshi PK (2013) Decision tree approach for classification of remotely sensed satellite data using open source support. J Earth Syst Sci 122:237–1247

    Google Scholar 

  • Silverman BW (1986) Density estimation for statistics and data analysis. Chapman and Hall, New York

    Book  Google Scholar 

  • Smith SJ, Williams JR, Menzel RG, Coleman GA (1984) Prediction of sediment yield from southern plains grasslands with the Modified Universal Soil Loss Equation. J Range Manag 37:295–297

    Article  Google Scholar 

  • Terranova O, Antronico L, Coscarelli R, Iaquinta P (2009) Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: an application model for Calabria (southern Italy). Geomorphology 112:228–245

    Article  Google Scholar 

  • Tian YC, Zhou YM, Wu BF, Zhou WF (2009) Risk assessment of water soil erosion in upper basin of Miyun Reservoir, Beijing, China. Environ Geol 57:937–942

    Article  Google Scholar 

  • UNEP (2008) Africa: atlas of our changing environment. Division of early warning and assessment (DEWA). United Nations Environment Programme (UNEP). Nairobi 00100, Kenya

    Google Scholar 

  • Vijith H, Suma M, Rekha VB, Shiju C, Rejith PG (2012) An assessment of soil erosion probability and erosion rate in a tropical mountainous watershed using remote sensing and GIS. Arab J Geosci 5:797–805. doi:10.1007/s12517-010-0265-4

    Article  Google Scholar 

  • Voogd H (1983) Multicriteria evaluation for urban and regional planning. Pion, London

    Google Scholar 

  • Vrieling A (2006) Satellite remote sensing for water erosion assessment: a review. Catena 65:2–18

    Article  Google Scholar 

  • Wang J, Rich PM, Price KP, Kettle WD (2004) Relations between NDVI and tree productivity in the central great plains. Int J Remote Sens 25:3127–3138

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook no 537, U.S. Department of Agriculture, Washington DC

  • Wu Q, Wang M (2007) A framework for risk assessment on soil erosion by water using an integrated and systematic approach. J Hydrol 337:11–21

    Article  Google Scholar 

Download references

Acknowledgments

Authors would like to thank two anonymous reviewers for their helpful reviews on the earlier version of the manuscript.

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Authors and Affiliations

  1. Unité de recherche Hydrosciences Appliquées, Université de Gabès, Gabès, Tunisia

    Sameh Kachouri, Hammadi Achour, Habib Abida & Samir Bouaziz

  2. Ecole Nationale d’Ingénieurs de Sfax, Laboratoire 3 E, U.R. Prospection géologique et base de données, Université de Sfax, Sfax, Tunisia

    Hammadi Achour

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  1. Sameh Kachouri
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  4. Samir Bouaziz
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Correspondence to Hammadi Achour.

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Kachouri, S., Achour, H., Abida, H. et al. Soil erosion hazard mapping using Analytic Hierarchy Process and logistic regression: a case study of Haffouz watershed, central Tunisia. Arab J Geosci 8, 4257–4268 (2015). https://doi.org/10.1007/s12517-014-1464-1

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